code: def test_engines_setup_global_args():
      """Tests the setting of engines using global arguments in setup."""
  
      juice_dataframe = pycaret.datasets.get_data("juice")
      exp = pycaret.classification.ClassificationExperiment()
  
      # init setup
      exp.setup(
          juice_dataframe,
          target="Purchase",
          remove_multicollinearity=True,
          multicollinearity_threshold=0.95,
          log_experiment=True,
          html=False,
          session_id=123,
          n_jobs=1,
          engine={"lr": "sklearnex"},
      )
  
      # Default Model Engine ----
      assert exp.get_engine("lr") == "sklearnex"
      model = exp.create_model("lr")
      assert isinstance(
          model,
          daal4py.sklearn.linear_model.logistic_path.LogisticRegression,
      )
  
file_path: pycaret/tests/test_classification_engines.py
imports: import daal4py
  import pytest
  import sklearn
  import pycaret.classification
  import pycaret.datasets
label_desc: Use image node_id 1 for calling a global function with example usage: test_engines_setup_global_args() without return types